This book extends the efficiency literature to the case of intertemporal models. First, the authors introduce static network models which serve as building blocks for the intertemporal budgeting models and the dynamic models. Next, the authors devote two chapters to productivity measurements,...

This chapter traces the evolution of the agricultural economics literature on agrifood output markets over the past 50 years, emphasizing research approaches and policy issues. The analysis of agrifood systems encompasses the demand and supply side of output markets. The analysis in this chapter...

This article applies a delay method and recursive analysis to reconstruct the phase space to study the evolution mechanism of atmospheric pollution, i.e., air quality monitoring. Based on the theory of chaos, it is proven that there are chaotic characteristics of factors influencing air quality....

Price movement in the electricity market can be viewed as a nonlinear and dynamic system, exhibiting significant chaotic and multiscale characteristics. To conduct more accurate analysis and forecasting, this paper proposes a new Curvelet denoising based algorithm to analyze these...

The heartbeat rate signal provides an invaluable means of assessing the sympathetic–parasympathetic balance of the human autonomic nervous system and thus represents an ideal diagnostic mechanism for detecting a variety of disorders such as epilepsy, cardiac disease and so forth. The current...

In this paper, we carried out network analysis for typical time series, such as periodic signals, chaotic maps, Gaussian white noise, and fractal Brownian motions. By reconstructing the phase space for a given time series, we can generate a network under the constraint of fixed nearest...

Data prediction approaches are proposed in many fields to approximate time series data with a tolerable error. These approaches typically build prediction functions based on assumptions of the data variation. Nonetheless, if the variation of real-world time series data does not follow the...